Power Load Optimization for a Remote Area BTS Site Using MPPT Algorithms
作者： Bahaa Abdul Khaliq , Anas Lateef Mahmood
DOI:
关键词: Solar power 、 Power (physics) 、 Maximum power principle 、 Maximum power point tracking 、 Electrical engineering 、 Photovoltaic system 、 Buck–boost converter 、 Renewable energy 、 Solar energy 、 Engineering
摘要: Solar energy is one of the most significant renewable sources. It has advantages no pollution and does not make any noise for this reasons using solar increased rapidly in last years. depends on environmental factors, such as temperature (T) irradiation (G), which are dynamic, therefore it requires to obtaining maximum power at ambient conditions support load with required power. Maximum point tracking (MPPT) methods widely used optimize system performance many MPPT techniques have been published hill climbing (HC) incremental conductance (IncCond) methods. This paper deals (MPP) standalone photovoltaic (PV) source rural area base transceiver station (BTS) that uses MOTOROLA (Horizon II macro) equipment changing conditions. The comparison two algorithm (HC IncCond) maximize obtained achieved. Also an equation calculating input capacitor value buck boost converter (BBC) design was developed paper. KC65T module PV panel work. Simulation results MATLAB program (Ver.14). main result comparisons shows IncCond method better than HC fast changing.
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